





import logging
import os

from .state import PartialState






class 						UpperCamelCase_  (  logging.LoggerAdapter							):



					@staticmethod
					def   __a     (		lowerCamelCase     :     int						):
							lowerCamelCase_	:     Union[str, Any] 						=      PartialState()
							return not main_process_only or (main_process_only and state.is_main_process)





					def   __a     (		self     :     Tuple       ,      lowerCamelCase     :     List[Any]       ,      lowerCamelCase     :     List[Any]       ,      *lowerCamelCase     :     Optional[Any]       ,      **lowerCamelCase     :     Union[str, Any]						):
							if PartialState._shared_state == {}:
									raise RuntimeError(
									    'You must initialize the accelerate state by calling either `PartialState()` or `Accelerator()` before using the logging utility.'						)
							lowerCamelCase_	:     Union[str, Any] 						=      kwargs.pop('main_process_only'       ,      lowerCamelCase						)
							lowerCamelCase_	:     List[str] 						=      kwargs.pop('in_order'       ,      lowerCamelCase						)

							if self.isEnabledFor(lowerCamelCase						):
									if self._should_log(lowerCamelCase						):
											lowerCamelCase_	:     List[str] 						=      self.process(lowerCamelCase       ,      lowerCamelCase						)
											self.logger.log(lowerCamelCase       ,      lowerCamelCase       ,      *lowerCamelCase       ,      **lowerCamelCase						)

									elif in_order:
											lowerCamelCase_	:     List[Any] 						=      PartialState()
											for i in range(state.num_processes						):
													if i == state.process_index:
															lowerCamelCase_	:     List[Any] 						=      self.process(lowerCamelCase       ,      lowerCamelCase						)
															self.logger.log(lowerCamelCase       ,      lowerCamelCase       ,      *lowerCamelCase       ,      **lowerCamelCase						)
													state.wait_for_everyone()


def 		_SCREAMING_SNAKE_CASE     ( lowerCAmelCase__							,lowerCAmelCase__ = None						):





		if log_level is None:
				lowerCamelCase_	:     int 						=      os.environ.get('ACCELERATE_LOG_LEVEL'							,_lowerCamelCase						)
		lowerCamelCase_	:     Dict 						=      logging.getLogger(_lowerCamelCase						)
		if log_level is not None:
				logger.setLevel(log_level.upper()						)
				logger.root.setLevel(log_level.upper()						)
		return MultiProcessAdapter(_lowerCamelCase							,{}						)


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase    :   Tuple						=			{
    'configuration_luke': ['LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP', 'LukeConfig'],
    'tokenization_luke': ['LukeTokenizer'],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase    :   int						=			[
		    'LUKE_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'LukeForEntityClassification',
		    'LukeForEntityPairClassification',
		    'LukeForEntitySpanClassification',
		    'LukeForMultipleChoice',
		    'LukeForQuestionAnswering',
		    'LukeForSequenceClassification',
		    'LukeForTokenClassification',
		    'LukeForMaskedLM',
		    'LukeModel',
		    'LukePreTrainedModel',
		]


if TYPE_CHECKING:
		from .configuration_luke import LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP, LukeConfig
		from .tokenization_luke import LukeTokenizer

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_luke import (
				    LUKE_PRETRAINED_MODEL_ARCHIVE_LIST,
				    LukeForEntityClassification,
				    LukeForEntityPairClassification,
				    LukeForEntitySpanClassification,
				    LukeForMaskedLM,
				    LukeForMultipleChoice,
				    LukeForQuestionAnswering,
				    LukeForSequenceClassification,
				    LukeForTokenClassification,
				    LukeModel,
				    LukePreTrainedModel,
				)

else:
		import sys

		lowercase    :   Any						=			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)